M. Chauvin, D. Borys, F. Botta, P. Bzowski, M. A. Pérez et al.,

M. Gil and . Bardiès, Opendose: A collaborative effort to produce reference dosimetric data with monte carlo simulation software, Physica Medica, vol.42, pp.32-33, 2017.

, Adult Reference Computational Phantoms, Annals of the ICRP, vol.39, issue.2, pp.1-164, 2009.

I. Kawrakow, Accurate condensed history Monte Carlo simulation of electron transport. I. EGSnrc, the new EGS4 version, Medical Physics, vol.27, pp.485-498, 2000.

T. Böhlen, F. Cerutti, M. Chin, A. Fassò, A. Ferrari et al., The fluka code: Developments and challenges for high energy and medical applications, Nuclear Data Sheets, vol.120, pp.211-214, 2014.

D. Sarrut, M. Bardiès, N. Boussion, N. Freud, S. Jan et al., A review of the use and potential of the gate monte carlo simulation code for radiation therapy and dosimetry applications, Medical Physics, vol.41, issue.6Part1, p.64301, 2014.
URL : https://hal.archives-ouvertes.fr/hal-01015819


L. S. Waters, G. W. Mckinney, J. W. Durkee, M. L. Fensin, J. S. Hendricks et al., The mcnpx monte carlo radiation transport code, AIP Conference Proceedings, vol.896, issue.1, pp.81-90, 2007.

J. Baró, J. Sempau, J. Fernández-varea, and F. Salvat, Penelope: An algorithm for monte carlo simulation of the penetration and energy loss of electrons and positrons in matter, Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms, vol.100, pp.31-46, 1995.

K. Eckerman and A. Endo, MIRD: Radionuclide Data and Decay Schemes, 2008.

A. Tsaregorodtsev, M. Bargiotti, N. Brook, A. C. Ramo, G. Castellani et al., Dirac: a community grid solution, Journal of Physics: Conference Series, vol.119, issue.6, p.62048, 2008.
URL : https://hal.archives-ouvertes.fr/in2p3-00186997

T. Glatard, C. Lartizien, B. Gibaud, R. Ferreira-da-silva, G. Forestier et al., A virtual imaging platform for multi-modality medical image simulation, IEEE Transactions on Medical Imaging, vol.32, issue.1, pp.110-118, 2013.
URL : https://hal.archives-ouvertes.fr/inserm-00762497

S. Camarasu-pop, T. Glatard, H. Benoit-cattin, and D. Sarrut, Enabling grids for gate monte-carlo radiation therapy simulations with the gate-lab, Applications of Monte Carlo Method in Science and Engineering, 2011.

T. Glatard, J. Montagnat, D. Lingrand, and X. Pennec, Flexible and efficient workflow deployment of data-intensive applications on grids with MOTEUR, IJHPCA, vol.22, issue.3, pp.347-360, 2008.


T. Glatard, G. Kiar, T. Aumentado-armstrong, N. Beck, P. Bellec et al., Boutiques: a flexible framework to integrate command-line applications in computing platforms, GigaScience, vol.7, issue.5, 2018.
URL : https://hal.archives-ouvertes.fr/hal-01817780

J. Blomer, P. Buncic, and T. Fuhrmann, Cernvm-fs: Delivering scientific software to globally distributed computing resources, Proceedings of the First International Workshop on Network-aware Data Management, ser. NDM '11, pp.49-56, 2011.


T. Glatard, Y. Cointepas, O. Commowick, M. Kain, B. Laurent et al., Carmin: a common web api for remote pipeline execution, Frontiers in Neuroscience, issue.53, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01576182

A. Rajasekar, R. Moore, C. Hou, C. A. Lee, R. Marciano et al.,

, , vol.2, 2010.